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import os
import csv
from datetime import datetime
import gradio as gr
from gradio import components
from huggingface_hub import Repository, hf_hub_download
DATASET_REPO_URL = "https://huggingface.co/datasets/sjw/data.csv"
DATASET_REPO_ID = "sjw/data.csv"
DATA_FILENAME = "data.csv"
DIRNAME = "data"
DATA_FILE = os.path.join(DIRNAME, DATA_FILENAME)
HF_TOKEN = os.environ.get("HF_TOKEN")
try:
hf_hub_download(
repo_id=DATASET_REPO_ID,
filename=DATA_FILENAME,
force_filename=DATA_FILENAME
)
except:
print("File not found")
repo = Repository(
local_dir=DIRNAME,
clone_from=DATASET_REPO_URL,
use_auth_token=HF_TOKEN
)
def generate_html() -> str:
"""Generate HTML content for the chat."""
with open(DATA_FILE) as csvfile:
reader = csv.DictReader(csvfile)
rows = [row for row in reader]
rows.reverse()
if not rows:
return "No messages yet"
html = "<div class='chatbot'>"
for row in rows:
html += f"<div><span><b>{row['name']}</b></span> <span class='message'>{row['message']}</span></div>"
html += "</div>"
return html
def store_message(name: str, message: str) -> str:
"""Store the message and regenerate HTML content."""
if name and message:
with open(DATA_FILE, "a") as csvfile:
writer = csv.DictWriter(csvfile, fieldnames=["name", "message", "time"])
writer.writerow({"name": name, "message": message, "time": str(datetime.now())})
return generate_html()
with gr.Blocks() as feedback_page:
gr.Markdown("# User Feedback")
name_input = components.Textbox(label="Your Username")
message_input = components.Textbox(label="Your Feedback", lines=2)
output_html = gr.HTML()
submit_button = gr.Button("Submit")
submit_button.click(store_message, inputs=[name_input, message_input], outputs=output_html)
feedback_page.launch() |